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Description
  • The article deals with the question of modeling multidimensional nonstationary cointegrated processes. It is a modern method especially used for description of economic time series. Multidimensional non-stationary process is called cointegratedif there is a linear combination of its one-dimensional components, which is stationaryor trend-stationary. For instance this property can be found in some series of economic indices which are predominantly non-stationary. Nevertheless, there are linear links which keep that whole system in so-called long-term equilibrium. The article is focused on a cointegration analysis of selected time series of the Czech Republic macro-economic indices.
  • The article deals with the question of modeling multidimensional nonstationary cointegrated processes. It is a modern method especially used for description of economic time series. Multidimensional non-stationary process is called cointegratedif there is a linear combination of its one-dimensional components, which is stationaryor trend-stationary. For instance this property can be found in some series of economic indices which are predominantly non-stationary. Nevertheless, there are linear links which keep that whole system in so-called long-term equilibrium. The article is focused on a cointegration analysis of selected time series of the Czech Republic macro-economic indices. (en)
Title
  • Inflation Modeling and Cointegration
  • Inflation Modeling and Cointegration (en)
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  • Inflation Modeling and Cointegration
  • Inflation Modeling and Cointegration (en)
skos:notation
  • RIV/60162694:G42__/12:00482222!RIV13-GA0-G42_____
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  • P(GPP402/10/P209)
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  • 141302
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  • RIV/60162694:G42__/12:00482222
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  • cointegration; tests of cointegration; inflation (en)
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  • [EA96A2E6F4E9]
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  • Bratislava
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  • Bratislava
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  • 11th International Conference on Applied Mathematics (APLIMAT 2012)
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  • Neubauer, Jiří
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number of pages
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  • Neuveden
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  • 978-80-89313-58-7
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  • G42
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